---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-finetuned-python_qa
  results: []
language:
- en
---


# flan-t5-base-finetuned-python_qa_v2

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the 
[Python Questions from Stack Overflow](https://www.kaggle.com/datasets/stackoverflow/pythonquestions) dataset.

It achieves the following results on the evaluation set:
- Loss: 1.9023
- Rouge1: 0.1919
- Rouge2: 0.0535
- Rougel: 0.1492
- Rougelsum: 0.1655

## Model description

More information needed

## Intended uses & limitations

- Question answering

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.0314        | 1.0   | 2000 | 1.9083          | 0.1876 | 0.0546 | 0.1485 | 0.1640    |
| 1.9586        | 2.0   | 4000 | 1.9031          | 0.1896 | 0.0531 | 0.1485 | 0.1643    |
| 1.923         | 3.0   | 6000 | 1.9023          | 0.1919 | 0.0535 | 0.1492 | 0.1655    |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1